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5. Conclusion This paper contributes to provide an integrated system including both qualitative and quantitative methods. By adopting this outsourcing decision support framework, firms can improve their supply chain stability and reduce the operational cost at the same time. This integrated system has several implications for practitioners, especially for logistics management consultants, and professionals for strategic management of logistics activities outsourcing: . The qualitative method is suitable in capturing the impact of risk in the supply chain. The SCR-FMEA method can be regarded as a qualitative risk assessment technique. It can be used to identify the most critical risk. This qualitative method allows practitioners to plan ahead and mitigate vulnerabilities. The qualitative SCR-FMEA risk management technique should be done at the planning stage. . The quantitative risk assessment is conducted with the support of simulation software. The key performance indicators are used to evaluate the performance of outsourcing certain logistics functions. It is necessary to understand that different firms may have different performance indicators, so the measures of performance should be revised accordantly. For instance, two parameters LTotal and CTotal are used as the key indicator for delivery outsourcing risks in our case study. Lead time and cost simulations are done for two scenarios (i.e. before and after outsourcing). It will aid the company to make decision on logistics outsourcing. The input variables that involve risks are all described through probability distributions. Although it is difficult to estimate precisely the distribution of parameters in the model, simulation tool provides a rich palette of probability distribution and fitting test to reflect expected performances. The spreadsheet simulation makes it easier to include desired assumptions. Also, simulation provides the ability to measure different outcome variable such as cost saving which determines the profitability of outsourcing. . The integrated system can identify risks and evaluate performance for both before and after outsourcing scenarios. It will help logistics management consultants to figure out professional solutions to clients, or support decision markers to make the decision relate to logistics activities outsourcing. . The proposed outsourcing decision support framework is practical and easy-to-use. The simulation report generated by risk solver presents a variety of basic descriptive statistics measures such as mean, standard deviation and future work can be done by using advanced statistical measures such as skewness, kurtosis, etc. These statistics measures may also be used to conduct more deeply analysis if required. In addition, sensitivity analysis can be done to show which logistics process affects the performance indicators the most. This kind of information should be shared with service providers; so that they can further improve the service quality and this is important for the set up of strategic outsourcing partnership. This system also allows practitioners to have a better understanding of all the possible risks related to logistics. Therefore, it is recommended to adopt different qualitative techniques such as focus group and Delphi to find out more about hidden risk of outsourcing. To conclude, both qualitative and quantitative risk assessment techniques must be balanced so as to support each other.